Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 1 intelligent classification from an anomaly perspective
Crossref DOI link: https://doi.org/10.1007/s00170-017-0320-3
Published Online: 2017-05-29
Published Print: 2017-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Griffin, James M.
Doberti, Alejandro J.
Hernández, Valbort
Miranda, Nicolás A.
Vélez, Maximiliano A.
Funding for this research was provided by:
Departamento de Ingeniería Mecánica, Universidad de Chile
License valid from 2017-05-29